Post Doctorate Research Associate - Hardware - software Co - design For Scalable AI Systems

Post Doctoral Researcher

PNNL's Future Computing Technologies group seeks an accomplished Post Doctoral Researcher to explore hardware-software co-design methodologies for the future computing systems that will meet the needs of scientific computing. Relevant research topics include:

• Novel methods for hardware-software co-design, including workload characterization, performance modeling, and architectural emulation. Memory-centric toolsets for modeling and optimizing software and architectures.
• Forming disaggregated memory-storage systems through fabric-attached memory (FAM) technologies such as Compute Express Link (CXL).
• Scaling AI workloads (inference, training, agentic workflows), irregular and data-intensive applications, and managing geo-distributed datasets.

The successful applicant will work within the Future Computing Technologies group and have demonstrated expertise in a topic closely related to continuum computing, distributed and parallel computing, memory and storage systems, performance and workload modeling, telemetry, and characterization. The researcher should be creative, self-motivated, and familiar with publishing at top-tier venues.

Minimum Qualifications:

• Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Preferred Qualifications:

• PhD in Computer Science, Computer Engineering, Electrical/Computer Engineering, Applied/Computational Mathematics, Data Science, or a closely related.
• Familiar with topics such as distributed and continuum computing, vector databases, performance modeling, storage and memory systems, etc.